AI tools are now everywhere inside companies.
Developers use ChatGPT. Marketing teams use Claude. Founders test Gemini. Someone connects an API key. Someone else pays for a separate account. Prompts, context, files, usage and costs are spread across personal tools, private chats and disconnected workflows.
At first, this works.
Then the team grows.
Suddenly, the company has no clear answer to very simple questions.
Who is using which AI model?
How much are we spending?
Which projects have access to which context?
Can we control what models people use?
Can we separate internal knowledge by team, client or workspace?
Can we give people AI access without sharing API keys?
That is the problem we are working on with Intrascope.
Intrascope is an AI workspace for teams that want more control over how AI is used across the company.
Instead of everyone using separate personal AI accounts, teams can work in one shared environment with users, projects, model access, shared context, permissions, usage visibility and spending controls.
We support both BYOK and managed usage.
With BYOK, teams can connect their own OpenAI, Anthropic, Google Gemini, DeepSeek, xAI, Mistral or Qwen API keys and keep full control over provider billing.
With managed usage, teams can top up balance and use supported AI models directly inside Intrascope, without managing multiple provider accounts or sharing API keys across the team.
Our goal is simple.
AI inside companies should not feel like a collection of scattered personal accounts.
It should feel like infrastructure.
Structured. Visible. Governed. Flexible.
We are still early, and we are learning from every team that tries the product.
If your company is already using AI across different people, tools and projects, I would love to hear how you currently manage access, context and costs. That is the space we are building for.